---
title: "Claude Haiku 4.5"
route_path: "/model/claude-haiku-4-5-20251001"
canonical_url: "https://www.pipellm.ai/model/claude-haiku-4-5-20251001"
markdown_path: "/llms/models/claude-haiku-4-5-20251001.md"
markdown_url: "https://www.pipellm.ai/llms/models/claude-haiku-4-5-20251001.md"
content_type: "model-detail-page"
description: "Machine-readable detail page for Claude Haiku 4.5."
generated_at: "2026-03-27T06:53:30.752Z"
---
Canonical page: https://www.pipellm.ai/model/claude-haiku-4-5-20251001
Markdown mirror: https://www.pipellm.ai/llms/models/claude-haiku-4-5-20251001.md
Content type: model-detail-page
Generated at: 2026-03-27T06:53:30.752Z
# Claude Haiku 4.5
## Query Intents
- Understand pricing, provider availability, context window, and capabilities for Claude Haiku 4.5.
- Compare Claude Haiku 4.5 against other models available through PipeLLM.
- Find the canonical model identifier to use in SDK or API requests.
## Overview
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications. It introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world’s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled deployment.
## Model Metadata
- Display name: Claude Haiku 4.5
- Model ID: claude-haiku-4-5-20251001
- Provider family: Anthropic
- Release date: 2025-10-15T00:00:00.000Z
- Context window: 200K
- Max output: 64K
- Input modalities: text, image
- Output modalities: text
- Tool use support: Yes
- Computer use support: Yes
- Cache control support: Yes
## Official Pricing (per 1M tokens)
| Metric | <=200K Context | >200K Context |
| --- | --- | --- |
| Input Price | $1 | — |
| Output Price | $5 | — |
| Cache Read | $0.1 | — |
| Cache Write | $1.25 | — |
| Image Input | $0 | — |
| Image Output | $0 | — |

## Provider Availability
| Provider | Region | Context Window | Max Output | Input Price | Output Price | Cache Read | Cache Write |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AWS | — | 200K | 64K | $1 | $5 | $0.1 | $1.25 |